The MaCAD is a unique online programme training a new generation of architects, engineers and designers ready to develop skills into the latest softwares, computational tools, BIM technologies and AI towards innovation for the Architecture, Engineering and Construction (AEC) industry.
Building Sensi, a sensory copilot for architectural floor plans. In architecture, we model everything. Structure, cost, energy, code compliance. Layer after layer of analysis that makes a building accountable before it’s built. But one thing was missing from the stack: how the space will actually feel. Not feel as in emotion. Feel as in the … Read more
Every design decision has a structure. For the AI studio seminar, we built PermanenceOS , a structural intelligence platform that helps architects understand the consequences of early design decisions, before they get expensive to change. The Core Problem In early design, structural decisions get locked in fast and by the time the engineer is brought … Read more
Introduction When we imagine a corridor in a typical apartment building, we picture a purely functional passageway — a space designed for movement, not for meeting. These circulation zones are often long, narrow, and socially inert. Yet they structure much of our daily experience of housing, shaping how residents encounter one another. Cohousing projects show … Read more
The building The Narkomfin Building was completed in 1930 in Moscow, designed by Moisei Ginzburg and Ignaty Milinis. It is one of the most recognized examples of Soviet Constructivist housing — a dom-kommuna, or communal house. The design was deliberately unconventional: kitchens were minimal because residents were expected to eat in a shared canteen, and living … Read more
Every great building begins as a small model and a messy desk Abstract As architects we spend hours making physical study models, cutting foam, assembling balsa, running the 3D printer. These models are essential, but the process is slow. Crafty Studio asks a simple question: “What if you could see your design as a physical … Read more
The promise of AI agents is compelling: systems that can sense their environment, plan strategically, take action, and learn from experience. But as organizations begin deploying these systems in production, a troubling reality emerges. The very capabilities that make AI agents powerful—their ability to reason, adapt, and solve novel problems—also make them frustratingly unpredictable. This … Read more
Intro This digital essay explores the growing trend of designing interior spaces for image consumption rather than functional use. This project investigates the consequences for public spaces when they are reshaped by the “economy of likes”. Drawing on Guy Debord’s Society of the Spectacle, the researchers argue that social relations are increasingly mediated through images, … Read more
Can Street Geometry Predict Urban Safety Risk? A machine-learning pipeline that classifies street morphology into risk typologies — from OpenStreetMap features to multi-city deployment, dead ends included. This post documents the full arc of our Urban Safety project — not just the results, but the reasoning, the wrong turns, and what we learned from them. … Read more
Mediterranean islands are crushed by tourism in July and August, and almost empty the rest of the year. So we asked what if generative AI could show people the ten months that already exist beyond those two? The goal was to make the off-season feel desirable, not as data, but as images you’d actually want … Read more
We have all been there. It is 3:00 AM, the competition deadline is looming, and you are trapped in an endless, soul-crushing loop of exporting from Rhino, tweaking vectors in Illustrator, and heavy post-processing in Photoshop. The repetitive grind of architectural representation can quickly lead to creative burnout. It is time to smash the old … Read more
ML-Driven Plant Placement for Adaptive Architecture BioSpatial Intelligence explores how machine learning can support planting decisions in architectural spaces. The project starts from a simple design question: when we design a building, how can we decide which plants belong to which environmental conditions? Instead of relying only on intuition, we developed a workflow that reads … Read more
Can we predict what kind of use does a city grid hosts — Commercial vs. Residential — from its built form, morphology, and proximity to other urban features? “Can we predict the land use of a space based on existing environmental information from official and unofficial sources?” What’s the sweet spot for a Machine Learning … Read more
Abstract Construction is responsible for a substantial share of global material waste and carbon emissions, and one of the reasons is structural: design, fabrication, and assembly are still treated as separate phases with fragmented handoffs between them. This podcast episode explores what changes when those phases are linked into a single, feedback-driven workflow where parametric … Read more
Program Voxels is a web-based parametric tool that automates building massing studies using cellular automata algorithms. Designed for architects and urban planners, the application intelligently distributes multiple building programmes within a user-defined boundary while respecting complex adjacency relationships. Built with Vue 3, Three.js, and Rhino Compute, the tool bridges visual programming with an intuitive web … Read more
In the Cloud-Based Data Management seminar, our final project explored how parametric design tools can move beyond the desktop and become accessible through the web. The course focused on transforming Grasshopper definitions into web-based applications using Rhino.Compute, Vue, and web visualization workflows, with the goal of making computational design more accessible to end users. This … Read more
